Current trends in the development of electrochemical biosensor for detecting analytes from sweat

Author:

Arya Sandeep1,Singh Anoop1,Sharma Asha1,Dubey Aman1

Affiliation:

1. Department of Physics, University of Jammu, Jammu, Jammu and Kashmir, India-180006

Abstract

Abstract: The need for wearable bioelectronics continues to grow, and this technology might significantly alter the medical field. In order to diagnose and treat a patient, conventional medicine takes a "reactive" approach and waits for symptoms to appear first. Therefore, it is preferable to progress toward continuous non-invasive wearable biomonitoring, a preventative strategy that may assist individuals in diagnosing or treating illnesses at the earliest stages, sometimes before any outward symptoms have appeared. Wearable physiological sensors, such as the Apple Watch and FitBit, have arrived on the market as a result of technology advances and have quickly become commonplace. However, few devices currently exist that can report directly on these biomarkers of relevance. This is mostly due to the challenges involved in real-time fluid sampling and generating correct readouts utilising extremely selective and sensitive sensors. Sweat is an excretory fluid that is only allowed to be used in order to reduce invasiveness, but this restriction places additional strain on sensors owing to the diluted concentration of the relevant biomarkers and the changes in pH, salinity, and other biophysical parameters that directly influence the read-out of real-time biosensors. Sweat is favoured amid slightly invasive biofluids due to its low concentration of interfering chemicals and the fact that it may be collected without touching the mucosal layers. This review offers a concise outline of the latest advances in sweat-based wearable sensors, their promise in healthcare monitoring, and the problems faced in analysis based on sweat.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology,Molecular Medicine,Drug Discovery,Biochemistry,Organic Chemistry

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